Sunday, July 9 — 3 significant news stories

Today we got our first article with a rating over 9!

It’s hard to compare the scores given by the old and new ChatGPT versions; but I think it is similar in significance to the news about WHO declaring COVID no longer an emergency two months ago (which got 8.6):

https://newsletter.newsminimalist.com/p/saturday-may-6-3-significant-news

Today ChatGPT read 796 top news stories. After removing previously covered events, there are 3 articles with a significance score over 8.

[9.1] Current decade of global warming unprecedented in Earth's climate history — The Washington Post

Scientists studying the Earth's climate history have claimed that the current decade of warming is exceptional relative to any period since before the last ice age, about 125,000 years ago. While it is impossible to prove exactly how hot it might have been thousands of years ago, scientists are confident that the recent heat would have been all but impossible over most of those millennia. The current spike in temperatures is caused by the burning of fossil fuels and emissions of greenhouse gases, making it distinct from any previous warm period.

For those who are interested, here are the individual scores given to this article: https://www.newsminimalist.com/articles/742f08f5-d8e3-4d31-b8b5-dc5d69058748

[8.2] China's domestic debt crisis intensifies — The New York Times

China, a major global lender, is facing a substantial domestic debt crisis. The country's total debt, accumulated by local governments, financial affiliates, and real estate developers, represents 282% of China's annual economic output. This figure is significantly higher than the average of 256% seen in developed economies worldwide, which is contributing to China's hesitation to cancel debts owed by struggling lower-income countries and adding complexity to the global financial situation.

[8.0] NASA's AI model DAGGER can forecast worldwide geomagnetic storms — HT Tech

NASA has developed an AI model called DAGGER (Deep Learning Geomagnetic Perturbation) that can accurately forecast worldwide geomagnetic storms with a 30-minute notice. By examining spacecraft data of the solar wind, the model can predict the location of an upcoming solar storm, providing crucial preparation time to protect power grids and infrastructure. The model's computer code is available as open source, allowing stakeholders to customize it for their specific requirements and implement necessary measures to safeguard their assets and infrastructure.

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